buffer_of_thought.ipynb

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      "/home/octoopt/anaconda3/envs/llmapi/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n"
     ]
    }
   ],
   "source": [
    "from src.llm import GeneratorFactory\n",
    "from src.helper.utils import set_logger\n",
    "\n",
    "import os\n",
    "from dotenv import load_dotenv\n",
    "\n",
    "load_dotenv()\n",
    "\n",
    "logger = set_logger()"
   ]
  },
  {
   "cell_type": "code",
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   "metadata": {},
   "outputs": [
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     "data": {
      "text/plain": [
       "'(Sorry, not a joke.) 😬\\n\\nA guy walks into a bar...\\n\\nBar owner: \"Hey, can I get you something to drink?\"\\n\\nGuy: \"Just some water, please.\"\\n\\nBar owner: \"Oh, okay. Well, what\\'s your name, buddy?\"\\n\\nGuy: \"I don\\'t know my name.\"\\n\\nBar owner: \"No problem, then. Just call me George. You can call me anything you want. We\\'re all the same here.\"\\n\\nCue George\\'s friends coming in and starting a game of charades. They end up making each other do ridiculous things that George finds hilarious...\\n\\n(The audience joins in, laughing and cheering)'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
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   ],
   "source": [
    "# llm = GeneratorFactory.call_generator(provider='gemini', \n",
    "#                                       api_key=os.getenv('GOOGLE_API_KEY'), \n",
    "#                                       model_name='models/gemini-1.5-pro')\n",
    "\n",
    "llm = GeneratorFactory.call_generator(provider='ollama', \n",
    "                                      api_key='none', \n",
    "                                      model_name='tinyllama')\n",
    "\n",
    "prompt = \"Tell me a joke\"\n",
    "llm.generate(query=prompt)"
   ]
  },
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    {
     "ename": "AttributeError",
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     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[3], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m prompt \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTell me a joke\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m----> 2\u001b[0m \u001b[43mllm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgenerate\u001b[49m(query\u001b[38;5;241m=\u001b[39mprompt)\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'generate'"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Buffer-of-Thought"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  },
  {
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  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inference"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  },
  {
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   "execution_count": null,
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